Artificial Intelligence Systems

The course focuses on the application of artificial intelligence methods and tools in engineering practice in the context of modern cybernetics. It explains the principles of artificial intelligence and machine learning. The content of the course is oriented on the currently used methods that address basic tasks of regression, classification, cluster analysis, and dimensionality reduction. The teaching includes an introduction to reinforcement learning and optimization tasks. In laboratory exercises, students apply the discussed methods directly to selected datasets, engineering tasks, or special hardware environments. The course content is put into the context of direct application in practice.